Assume they all use the "in range(size))" to populate the list with a sequence of numbers. For this question, create the four lists, and report the performance (time) of each of the above approaches See if you can organize your codes (design) modularity: The following function (tx(x)) where fx is one of the list-build functions to measure and display the execution time for each of the above four cases: (You pass the function fx to the tx(...) function to measure and print the time) import time

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Please written by computer source

IN PYTHON

(1)
are:
There are many ways to create a python list data structure: four of the common ones
a.
using a basic for-loop index to build the list via indexing
b.
using a basic for loop index with .append(i)
c. using a comprehension (one-liner) approach
d. using the list(range(size) ) function( one-liner)
Assume they all use the "in range(size))" to populate the list with a sequence of numbers. For this
question, create the four lists, and report the performance (time) of each of the above approaches
See if you can organize your codes (design) modularity:
The following function (tx(x)) where fx is one of the list-build functions to measure and display
the execution time for each of the above four cases: (You pass the function fx to the tx(...)
function to measure and print the time)
import time
def tx(fx):
strTime = time.perf_counter()
end Time = strTime
fx()
endTime=time.perf_counter()
print(f....(fx.___name__}, {endTime-strTime:.6f}')
Transcribed Image Text:(1) are: There are many ways to create a python list data structure: four of the common ones a. using a basic for-loop index to build the list via indexing b. using a basic for loop index with .append(i) c. using a comprehension (one-liner) approach d. using the list(range(size) ) function( one-liner) Assume they all use the "in range(size))" to populate the list with a sequence of numbers. For this question, create the four lists, and report the performance (time) of each of the above approaches See if you can organize your codes (design) modularity: The following function (tx(x)) where fx is one of the list-build functions to measure and display the execution time for each of the above four cases: (You pass the function fx to the tx(...) function to measure and print the time) import time def tx(fx): strTime = time.perf_counter() end Time = strTime fx() endTime=time.perf_counter() print(f....(fx.___name__}, {endTime-strTime:.6f}')
write a function of each of the above four list-building approaches
Keep this function (tx(fx)) is a separate py file (I name mine: timelt.py) so that you can import
the tx function whenever you need to measure and display the performance time.
Use the tx(fx) function to test and report the performance time. Remember fx is a variable
name (function name) for each of the above four list build method
Use size = 100k for your range.
O
Transcribed Image Text:write a function of each of the above four list-building approaches Keep this function (tx(fx)) is a separate py file (I name mine: timelt.py) so that you can import the tx function whenever you need to measure and display the performance time. Use the tx(fx) function to test and report the performance time. Remember fx is a variable name (function name) for each of the above four list build method Use size = 100k for your range. O
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